Director, Workforce Analytics

About the role

This senior role serves as a dedicated partner to HR Business Managers, HR executives, and business leaders. Building deep trust and contextual knowledge with them is central to this role.

Responsibilities

• Own the analytics work end to end, from pulling and wrangling data to delivering insight and strategic recommendations to senior leaders.
• Cultivate trusted advisory relationships with assigned HR business managers, HR executives, and business leaders, building deep knowledge of their strategy, workforce priorities, and decisions over time.
• Help leaders frame the right workforce questions before analysis begins, and deliver insight that goes beyond data to offer a clear "so what" and "now what."
• Define success measures before work begins and evaluate whether talent strategies achieve their intended outcomes.
• Communicate findings to senior audiences with clarity, confidence, and appropriate challenge.
• Apply AI tools thoughtfully to accelerate research, synthesis, and storytelling.
• Influence and coordinate across organizational boundaries without formal authority.

Requirements

Key Responsibilities and Duties: University (Degree) Preferred Work Experience 5+ Years Required; 7+ Years Preferred Physical Requirements: Sedentary Work Career Level 8IC Qualifications: Required: Five or more years of experience in people analytics, workforce analytics, workforce strategy, business analysis, or human capital consulting.

Qualifications

• Demonstrated ability to build trusted advisory relationships with HR business managers, senior HR executives, and People Team colleagues, with the consultation skills to define the right problem before reaching for data, synthesize complex evidence into clear recommendations, and keep work connected to decisions and outcomes rather than analysis for its own sake.
• Strong business acumen with the ability to connect workforce patterns to the operational, financial, and strategic context of a specific client group.
• Familiarity with statistical analysis and predictive methods, with the judgment to know when advanced approaches add value.
• Proficiency in one or more analytical tools such as Excel, SQL, Python, Snowflake, Workday, Tableau, or Power BI.
• Experience applying AI tools to improve analysis and storytelling, with sound judgment about responsible use.
• Sound judgment regarding data governance, employee privacy, and the ethical use of workforce information.
• Bachelor's degree or equivalent in analytics, data science, business, economics, statistics, or a related field.

Benefits

At TIAA, we are committed to making financial well-being possible for our clients, and are equally committed to the well-being of our associates. That’s why we offer a comprehensive Total Rewards package designed to make a positive difference in the lives of our associates and their loved ones. Our benefits include a superior retirement program and highly competitive health, wellness and work life offerings that can help you achieve and maintain your best possible physical, emotional and financial well-being.